The AIO-3399ProC is powered by a RK3399Pro high-performance AI processor with built-in neural network unit (NPU), supports multiple AI development tools and interfaces, and has rich expansion interfaces and powerful hardware encoding and decoding abilities, which can be applied to AI industry easily
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Cluster Server R1
Reference: CSR1
As a standard 1U rack-mounted server based on ARM architecture, it builds a multi-core AI acceleration cluster platform by means of multi-core board combination, has super computing power, and provides standard hardware and software interfaces, supporting Docker, suitable for edge computing, cloud gaming, virtual desktop and other scenarios.

As a standard 1U rack-mounted server based on ARM architecture, it builds a multi-core AI acceleration cluster platform by means of multi-core board combination, has super computing power, and provides standard hardware and software interfaces, supporting Docker, suitable for edge computing, cloud gaming, virtual desktop and other scenarios.
16 other products in the same category:
With on-board RK1808 AI chip which inbuilt high-efficiency NPU, it possesses a strong calculation capacity and supports multiple AI framework and AI application SDK, being easy to develop. With rich interfaces for AI applications, it is convenient for extension and can be applied to voice wake-up, speech recognition, face recognition and other application scenarios.
Uses RK3288 Quad-Core Cortex-A17 CPU, up to 1.8Ghz , integrated Quad-Core Mali-T764 GPU. Onboard 4G LTE interface, multiple display interface and serial port. Support Android/Linux/Ubuntu system. It can be quickly applied to a variety of industries.
The mini computer supports 8GB large RAM. M.2 and SATA3.0 interfaces enables expansion with large hard drives. Providing dual gigabit ethernet ports, it supports wifi 6 wireless transmission. Control port can be connected with RS485/RS232 devices. Various systems and boot ways are supported-with the dedicated application programs and forums, geek fun is endless.
Equipped with high-performance RK3399 processor and adopts multiple power supply modes. It supports WIFI or BT wireless connection and can be connected to the expansion board, making the performance stronger and superior. When combined with the all-aluminum alloy case, it becomes a pocket portable personal computer.
Uses RK3399 Six-Core ( A72x2+A53x4 ) 64-Bit CPU, up to 2.0Ghz , integrated Quad-Core Mali-T864 GPU. Onboard M.2 PCIe, 4G LTE interface, multiple display interface and serial port. Support Android/Linux/Ubuntu system
As a small-scale high-performance IoT core board, core-3308Y adopts 136 pin stamp hole design and is equipped with Rockchip RK3308 that is dedicated IoT processor. It supports multiple operating systems speech systems and services, as well as has rich expansion interfaces and strong display drive capability.
Adopts Rockchip quad-core 64-bit processor RK3328, onboard AI neural network acceleration chip, with high computing capacity, ultra-high performance, powerful hardware decoding ability and rich extended interfaces, supports multiple operating system. it can be used as visual-based deep learning operation and AI algorithm acceleration, suitable for cluster serversw, high-performance computing/storage, industrial computers, etc.
Station M2 is empowered by RK3566 quad-core 64bit Cortex-A55 processor having fdquency up to 1.8GHz. The efficiency is greatly improved. With 22nm lithography process, it features low power consumption and high performance. Audio and video entertainment, large games and file collaboration can be handled effortlessly.
It is a miniature and high-performance main board which is equipped with Rockchip RK3328 quad-core Cortex-A53 64-bit processor, supports multiple operating systems and the performance is stable and reliable. ROC-RK3328-PC with powerful hard decoding capability and rich expansion interface, combined with metal case to become a cost-effective Mini PC.
Face-RK3399 supports multiple face recognition algorithms and various recognition modes. Its rich peripheral interfaces can carry all kinds of peripheral equipment of gate, and meets the application needs of access control, attendance and paying with faces. It also can provide one-stop solution service to help projects land quickly.
Equipped with 10-point IPS touch screen and 2M WDR dual-lens camera, the tablet PC has M.2 and SATA3.0 interfaces, enabling expansion with large hard drives. Dual Gigabit Ethernet ports and WiFi 6 are supported. It can be used in medical places, industrial automation, commercial advertising, express cabinets, order taking and other fields.
AIO-3568J is a Quad-Core High-Performance AI Mainboard,composed of core board Core-3568J + mother board MB-JM3-RK3568, equipped with interfaces such as RGMII, PCIE3.0, USB3.0, I2C, SPI, UART, GPIO, MIPI-DSI, it can be directly used in various intelligent products to facilitate the completion of products
Equipped with high-performance quad-core AI intelligent vision processor with computing power up to 2.0Tops, the module supports 4K video coding and decoding, various AI frameworks and human detection with high recognition accuracy — it is suitable for face recognition, gate access control, gesture recognition, expression recognition, face attribute analysis, etc. Abundant resources facilitate secondary development and help the project to be implemented quickly.
This standard 2U rack cluster server can be configured with up to 72 core boards, providing remarkable computing power. With high-density hot swap design, it is convenient to replace the components without shutdown. Supporting various systems, the server is installed with BMC remote management system that supports customized development. It can be used for - virtual desktop, cloud phone, blockchain, cloud gaming, facial recognition server, app cloning, etc.
Thin and mini. Powerful performance. Easy to start. Station M1 supports various Operating systems and bootup ways, supplying endless geek fun. You can remotely control the device through station app, which makes you enjoy playing everywhere.